I study computational linguistics using techniques from cognitive science, machine learning, and natural language processing. My research focuses on how to achieve robust generalization in models of language, as this remains one of the main areas where current AI systems fall short and one of the most impressive components of language processing in humans. In particular, I study which inductive biases and which representations of structure enable robust generalization, since these are two of the major components that determine how learners generalize to novel types of input.